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Stochastic equation and exponential ergodicity in Wasserstein distances for affine processes

Friesen, Martin, Jin, Peng and Rüdiger, Barbara (2020) Stochastic equation and exponential ergodicity in Wasserstein distances for affine processes. Annals of Applied Probability, 30 (5). pp. 2165-2195. ISSN 2168-8737

Abstract
This work is devoted to the study of conservative affine processes on the canonical state space D = Rm+ × Rn, where m + n > 0. We show that each affine process can be obtained as the pathwise unique strong solution to a stochastic equation driven by Brownian motions and Poisson random measures. Then we study the long-time behavior of affine processes, that is, we show that under first moment condition on the state-dependent and log-moment conditions on the state-independent jump measures, respectively, each subcritical affine process is exponentially ergodic in a suitably chosen Wasserstein distance. Moments of affine processes are studied as well.
Metadata
Item Type:Article (Published)
Refereed:Yes
Subjects:Mathematics
Mathematics > Mathematical analysis
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health
DCU Faculties and Schools > Faculty of Science and Health > School of Mathematical Sciences
Publisher:Institute of Mathematical Statistics
Official URL:https://projecteuclid.org/journals/annals-of-appli...
Copyright Information:Authors
ID Code:31176
Deposited On:11 Jul 2025 08:41 by Vidatum Academic . Last Modified 11 Jul 2025 08:41
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